InsurTech MCP Server
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- FlicenseNot gradedqualityCmaintenanceProvides an AI-powered insurance assistant with tools for customer, policy, claim, premium, fraud detection, and policy renewal operations.-
- FlicenseNot gradedqualityDmaintenanceProvides retrieval-augmented generation for insurance claims, enabling search, clause retrieval, and governed tool-calling over policy documents using local LLM (Ollama).-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to run tests, generate synthetic insurance data, analyze coverage and code quality, and validate insurance business rules.MIT
- AlicenseNot gradedqualityCmaintenanceEnables querying insurance policy information and customer policies through MCP tools.MIT
- FlicenseNot gradedqualityCmaintenanceThis server enables AI agents to provide insurance recommendations, validate user profiles, generate contract drafts, and manage electronic signature workflows with human approval.-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to get real home & auto insurance quotes and start binding through a network of licensed independent agencies.Apache 2.0
TDQS
Scored across 4 tools
Each tool targets a distinct insurance task: analyzing policy clauses, assessing risk, comparing policies, and generating claim reports. There is no overlap or ambiguity between them.
All tool names follow a clear verb_noun pattern in snake_case: analyze_policy_clauses, assess_insurance_risk, compare_insurance_policies, generate_claim_report. The naming is uniform and predictable.
With 4 tools, the server is well-scoped and each tool serves a distinct, valuable purpose within the insurance analysis domain. This is within the typical optimal range and feels complete without being bloated.
The server covers core insurance analysis workflows: understanding policies, risk assessment, comparison, and claim reporting. Minor gaps exist, such as lack of policy management or claim processing tools, but the analytical surface is coherent and functional.